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Following the Online Trail of Ukrainian Refugees through Google Trends

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  • Joop Age Harm Adema
  • Maitreyee Guha

Abstract

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Suggested Citation

  • Joop Age Harm Adema & Maitreyee Guha, 2022. "Following the Online Trail of Ukrainian Refugees through Google Trends," CESifo Forum, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 23(04), pages 62-66, July.
    • Handle: RePEc:ces:ifofor:v:23:y:2022:i:04:p:62-66
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    File URL: https://www.ifo.de/DocDL/CESifo-Forum-2022-4-adema-guha-ukr%20refugees-google-july.pdf
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    References listed on IDEAS

    as
    1. Simeon Vosen & Torsten Schmidt, 2011. "Forecasting private consumption: survey‐based indicators vs. Google trends," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 30(6), pages 565-578, September.
    2. Philippe Wanner, 2021. "How well can we estimate immigration trends using Google data?," Quality & Quantity: International Journal of Methodology, Springer, vol. 55(4), pages 1181-1202, August.
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    Cited by:

    1. Konstantin Boss & Finja Krueger & Conghan Zheng & Tobias Heidland & Andre Groeger, 2023. "Forecasting Bilateral Refugee Flows with High-dimensional Data and Machine Learning Techniques," Working Papers 1387, Barcelona School of Economics.
    2. Ruedin, Didier, 2025. "Ukrainian Refugees in Switzerland: A research synthesis of what we know," EconStor Preprints 308844, ZBW - Leibniz Information Centre for Economics, revised 2025.

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